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CICADAS

Yu-Ming Ke, Chih-Wei Chen, Hsu-Chun Hsiao, Adrian Perrig, Vyas Sekar
2016 Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security - ASIA CCS '16  
We develop a practical pulsating attack called CICADAS using two key ideas: using both (1) congestion as an implicit signal for decentralized implementation, and (2) a Kalman-filter-based approach to achieve  ...  ., amplification) by proactively investigating the potential for new types of DDoS attacks.  ...  Before the attack streams arrive at the target link, they experience dynamic delays (i.e., d1, d2 and d3) introduced by network elements.  ... 
doi:10.1145/2897845.2897866 dblp:conf/ccs/KeCHPS16 fatcat:cq4hyzjulzasregwfjtwucwy3q

What we talk about when we talk about cloud network performance

Jeffrey C. Mogul, Lucian Popa
2012 Computer communication review  
Many cloud customers do want to be able to rely on network performance guarantees, and many cloud providers would like to offer (and charge for) these guarantees.  ...  However, while all cloud providers provide network connectivity to tenant VMs, they seldom make any promises about network performance, and so cloud tenants suffer from highly-variable, unpredictable network  ...  Many cloud customers do want to be able to rely on network performance guarantees, and many cloud providers would like to offer (and charge for) these guarantees.  ... 
doi:10.1145/2378956.2378964 fatcat:4o3cxu67vfglfjc77klzyw74le

The mechanism for Predictive Load Control in the Implementation Framework through Genetic Intelligence

T. Pushpalatha, Sriramula Nagaprasad
2020 International Journal of Machine Learning and Networked Collaborative Engineering  
The next generation of cloud computing would make the network scalable and use available resources effectively. This article introduces a new approach to genetic algorithm (GA) power loads.  ...  Cloud Analyst models the suggested method. A load-balancing algorithm based on the forecasts of the end -to -end Cicada method given in this paper.  ...  This article introduces a Caffe based distributed ML model using the concept A-DSP and Parametric Server. PREDICTION AND SIMULATION METHOD The structure is shown in the column.  ... 
doi:10.30991/ijmlnce.2019v03i04.002 fatcat:z5ylszc4a5gibduveyxpg6yvk4

Silo

Keon Jang, Justine Sherry, Hitesh Ballani, Toby Moncaster
2015 Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication - SIGCOMM '15  
Many cloud applications can benefit from guaranteed latency for their network messages, however providing such predictability is hard, especially in multi-tenant datacenters.  ...  We identify three key requirements for such predictability: guaranteed network bandwidth, guaranteed packet delay and guaranteed burst allowance.  ...  We thank Richard Black and Austin Donnelly for the suggestion regarding the packet pacing method. We thank the anonymous reviewers and our shepherd Teemu Koponen for their helpful comments.  ... 
doi:10.1145/2785956.2787479 dblp:conf/sigcomm/JangSBM15 fatcat:hxxcjr6rfbcpbi3pj2xceihekq

Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata

Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre Begnum
2016 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)  
The consequent traffic bottlenecks negatively affect both the performance of the application and the network in its entirety, posing non-trivial challenges for the administrators of these cloud-based data  ...  Cloud Computing (CC) is becoming increasingly pertinent and popular.  ...  [26] introduce predictive guarantees, which represents a new abstraction for bandwidth guarantees in CC networks.  ... 
doi:10.1109/ntms.2016.7792430 dblp:conf/ntms/JobavaYOB16 fatcat:m67prf636fcyfguihfgadba5ty

IJMLNCE Editorial Note Volume No 03, Issue No 04

Shivani Agarwal, Manju Khari, Prakash Singh Tanwar
2020 International Journal of Machine Learning and Networked Collaborative Engineering  
The Second research article suggested "The mechanism for Predictive Load Control v cons of biomedical engineering in the health care industry..  ...  In the world of computer networking, cloud computing makes a technical shift in computing services being provided locally to being provided remotely by third-party service providers.  ...  The integration of these technology trends in the public sector is the elixir for infinite issues such as lack of resources and allocation of the public spending on buying new tools for the business continuation  ... 
doi:10.30991/ijmlnce.2019v03i04 fatcat:bmorqooalrarvks6wj6v46sxh4

Towards Efficient, Work-Conserving, and Fair Bandwidth Guarantee in Cloud Datacenters

Baraa Saeed Ali, Kang Chen, Imran Khan
2019 IEEE Access  
Bandwidth guarantee is a critical feature to enable performance predictability in cloud datacenters.  ...  INDEX TERMS Datacenter network, bandwidth guarantee, work conservation, MPTCP, fairness. 109134 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  However, since there is no guarantee regarding the minimal bandwidth, tenants cannot achieve predictable network performance.  ... 
doi:10.1109/access.2019.2930888 fatcat:zws6wivuengyzingwl3fxtmjxi

Kraken: Online and Elastic Resource Reservations for Cloud Datacenters

Carlo Fuerst, Stefan Schmid, Lalith Suresh, Paolo Costa
2018 IEEE/ACM Transactions on Networking  
In cloud environments, the absence of strict network performance guarantees leads to unpredictable job execution times.  ...  To overcome these limitations, we designed KRAKEN, a system that allows to dynamically update minimum guarantees for both network bandwidth and compute resources at runtime.  ...  Notable exceptions are Cicada [22] , which offers predictive instead of absolute guarantees, and Proteus [9] , which allows tenants to specify time-varying bandwidth reservations.  ... 
doi:10.1109/tnet.2017.2782006 fatcat:zhia5yhlybc2navt22dawfnb2y

Evaluating Cloud Service Elasticity Behavior

Georgiana Copil, Hong-Linh Truong, Daniel Moldovan, Schahram Dustdar, Demetris Trihinas, George Pallis, Marios D. Dikaiakos
2015 International Journal of Cooperative Information Systems  
Therefore, understanding the effects on the behavior of the cloud service is of utter importance for runtime decision-making process, when controlling cloud service elasticity.  ...  In this paper, we present a novel methodology and a framework for estimating and evaluating cloud service elasticity behaviors.  ...  LaCurts et al. 20 propose Cicada, a framework which predicts network traffic for cloud applications, without making assumptions about application structure.  ... 
doi:10.1142/s0218843015410026 fatcat:nplaoq5rofbkzjf6u552xgh43y

S3

Jingtian Zhang, Sai Wu, Zeyuan Tan, Gang Chen, Zhushi Cheng, Wei Cao, Yusong Gao, Xiaojie Feng
2019 Proceedings of the VLDB Endowment  
In this paper, we present S3, a scalable in-memory skip-list index for the customized version of RocksDB in Alibaba Cloud. S3 adopts a two-layer structure.  ...  Some assumptions, such as fixed size key and value, are unrealistic for real applications.  ...  The authors would like to thank the anonymous reviewers for their valuable suggestions and opinions.  ... 
doi:10.14778/3352063.3352134 fatcat:ogm3tagvwzfoxbamk5thfxmkoq

A Survey On M2M Systems For Mhealth: A Wireless Communications Perspective

Elli Kartsakli, Aris S. Lalos, Angelos Antonopoulos, Stefano Tennina, Marco Di Renzo, Luis Alonso, Christos Verikoukis
2014 Zenodo  
Hence, we first provide a systematic review of Wireless Body Area Networks (WBANs), which constitute the enabling technology at the patient's side, and then discuss end-to-end solutions that involve the  ...  We close the survey by identifying challenges and open research issues, thus paving the way for future research opportunities.  ...  Elli Kartsakli was responsible for the paper's organization and provided the M2M network architecture, the design challenges for mHealth applications and the MAC protocols overview. Aris S.  ... 
doi:10.5281/zenodo.57072 fatcat:utf5bd3xgjbxrnixu6iocfamla

A Survey on M2M Systems for mHealth: A Wireless Communications Perspective

Elli Kartsakli, Aris Lalos, Angelos Antonopoulos, Stefano Tennina, Marco Renzo, Luis Alonso, Christos Verikoukis
2014 Sensors  
A key issue to be handled is the large number of devices that must be supported in an M2M network, since market predictions estimate that the number of M2M-enabled devices with Internet connectivity will  ...  The main concept lies in seamlessly connecting an autonomous and self-organizing network of M2M-capable devices to a remote client, through heterogeneous wired or wireless communication networks.  ...  Elli Kartsakli was responsible for the paper's organization and provided the M2M network architecture, the design challenges for mHealth applications and the MAC protocols overview. Aris S.  ... 
doi:10.3390/s141018009 pmid:25264958 pmcid:PMC4239929 fatcat:kwow7xqtarh47bm5v62tpvrdte

A Survey of Body Sensor Networks

Xiaochen Lai, Quanli Liu, Xin Wei, Wei Wang, Guoqiao Zhou, Guangyi Han
2013 Sensors  
Additionally, BSNs deployed in the human body are for monitoring human physiological data, which are subject to user's personal safety and privacy protection issues.  ...  The typical research projects and practical application of BSNs are introduced as well. BSNs are progressing along the direction of multi-technology integration and intelligence.  ...  We thank Feng Xia for his suggestion about organization of content, Xingliang Pan for his English polishing, and especially Daowei Cheng for his outstanding work of material collection.  ... 
doi:10.3390/s130505406 pmid:23615581 pmcid:PMC3690007 fatcat:3etbvzzqrrchvgq54d6k2w4miu

IIRC: Incremental Implicitly-Refined Classification [article]

Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar
2021 arXiv   pre-print
For example, distillation-based methods perform relatively well but are prone to incorrectly predicting too many labels per image.  ...  We introduce the "Incremental Implicitly-Refined Classi-fication (IIRC)" setup, an extension to the class incremental learning setup where the incoming batches of classes have two granularity levels. i.e  ...  Acknowledgments We would like to thank Louis Clouatre and Sanket Vaibhav Mehta for reviewing the paper and for their meaningful feedback.  ... 
arXiv:2012.12477v2 fatcat:rkz5t7pcpbavzmaozvwiifwlh4

Improving prediction accuracy in agent based modeling systems under dynamic environment

Inderjeet Singh Dogra, Ziad Kobti
2013 2013 IEEE Congress on Evolutionary Computation  
However, if the weather for an input situation reports volcanic clouds then what will be the outcome of ABM?  ...  However, it does not guarantee delivering accurate results for all situations that can be observed in real world, for the modeled system.  ...  The first section deals with illustrating the working of the proposed approach along with its validation, performed in terms of prediction accuracy.  ... 
doi:10.1109/cec.2013.6557819 dblp:conf/cec/DograK13 fatcat:bngzn7ttx5ex3lstxv2nrnp7jy
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